Swarm Intelligence: From Natural to Artificial Systems (Santa Fe Institute Studies on the Sciences of Complexity),Used

Swarm Intelligence: From Natural to Artificial Systems (Santa Fe Institute Studies on the Sciences of Complexity),Used

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Social insectsants, bees, termites, and waspscan be viewed as powerful problemsolving systems with sophisticated collective intelligence. Composed of simple interacting agents, this intelligence lies in the networks of interactions among individuals and between individuals and the environment. A fascinating subject, social insects are also a powerful metaphor for artificial intelligence, and the problems they solvefinding food, dividing labor among nestmates, building nests, responding to external challengeshave important counterparts in engineering and computer science.This book provides a detailed look at models of social insect behavior and how to apply these models in the design of complex systems. The book shows how these models replace an emphasis on control, preprogramming, and centralization with designs featuring autonomy, emergence, and distributed functioning. These designs are proving immensely flexible and robust, able to adapt quickly to changing environments and to continue functioning even when individual elements fail. In particular, these designs are an exciting approach to the tremendous growth of complexity in software and information. Swarm Intelligence draws on uptodate research from biology, neuroscience, artificial intelligence, robotics, operations research, and computer graphics, and each chapter is organized around a particular biological example, which is then used to develop an algorithm, a multiagent system, or a group of robots. The book will be an invaluable resource for a broad range of disciplines.

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Frequently Asked Questions

  • Q: What is the main focus of 'Swarm Intelligence: From Natural to Artificial Systems'? A: The book explores how social insects like ants and bees exhibit powerful problem-solving abilities through collective intelligence, and how these principles can be applied to artificial systems in various fields.
  • Q: Who is the author of this book? A: The author of 'Swarm Intelligence: From Natural to Artificial Systems' is Eric Bonabeau.
  • Q: What disciplines does the book draw insights from? A: The book incorporates research from biology, neuroscience, artificial intelligence, robotics, operations research, and computer graphics.
  • Q: What is the publication date of this book? A: The book was published on September 23, 1999.
  • Q: What is the binding type of this book? A: The book is available in paperback binding.
  • Q: How many pages does the book have? A: There are 320 pages in 'Swarm Intelligence: From Natural to Artificial Systems'.
  • Q: Is this book suitable for beginners in the field of swarm intelligence? A: Yes, the book provides a detailed yet accessible look at swarm intelligence and its applications, making it suitable for readers new to the topic.
  • Q: What are some key themes covered in the book? A: Key themes include the modeling of social insect behavior, the application of these models in complex system designs, and the shift from centralized control to decentralized functioning.
  • Q: Can this book be useful for engineering and computer science students? A: Absolutely, the principles discussed in the book have important implications for engineering and computer science, especially in designing adaptive and resilient systems.
  • Q: What edition of the book is available? A: The available edition of the book is the first edition.